
###
 # @Author: daniel
 # @Date: 2024-03-18 10:33:06
 # @LastEditTime: 2024-03-18 17:54:10
 # @LastEditors: daniel
 # @Description: 
 # @FilePath: /Ultra-Fast-Lane-Detection/scripts/docker.sh
 # have a nice day
### 






docker run --gpus all \
-v /home/shaocong.xu/exp/Ultra-Fast-Lane-Detection/scripts:/ultra-fast-lane-detection/scripts \
-v /home/shaocong.xu/exp/Ultra-Fast-Lane-Detection/pretrained:/ultra-fast-lane-detection/pretrained \
-v /home/shaocong.xu/exp/Ultra-Fast-Lane-Detection/logs:/ultra-fast-lane-detection/logs \
-v /home/shaocong.xu/exp/Ultra-Fast-Lane-Detection/test.py:/ultra-fast-lane-detection/test.py \
-v /home/shaocong.xu/exp/Ultra-Fast-Lane-Detection/evaluation/eval_wrapper.py:/ultra-fast-lane-detection/evaluation/eval_wrapper.py \
-v /home/shaocong.xu/exp/Ultra-Fast-Lane-Detection/data/culane:/ultra-fast-lane-detection/data/culane \
-v /home/shaocong.xu/.cache:/root/.cache \
--shm-size 128g \
-it lane_detection:v0.0.2 





# python3 -c "import torch; print(torch.cuda.is_available())"



# python3 train.py configs/culane.py --batch_size 2







